Deep belief bi-directional LSTM network-based intelligent student's performance prediction model with entropy weighted fuzzy rough set mining

Q3 Computer Science

International Journal of Intelligent Information and Database Systems Pub Date : 2023-01-01 DOI:10.1504/ijiids.2023.10055118

N. Sateesh, P. Rao, Davuluri Rajya Lakshmi

引用次数: 0

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基于熵加权模糊粗糙集挖掘的深度信念双向LSTM网络智能学生成绩预测模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Intelligent Information and Database Systems Computer Science-Information Systems

CiteScore

2.90

自引率

0.00%

发文量

期刊介绍： Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences. IJIIDS provides a medium for exchanging scientific research and technological achievements accomplished by the international community. It focuses on research in applications of advanced intelligent technologies for data storing and processing in a wide-ranging context. The issues addressed by IJIIDS involve solutions of real-life problems, in which it is necessary to apply intelligent technologies for achieving effective results. The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.